Data Scientist – Level I / Level II

Jobtailor; Charlotte (NC); On-site; USD 95,000 - 140,000; Full time

Job summary

Jobtailor in Charlotte, NC is seeking a data analytics professional to perform advanced analytics, develop ML models, and translate business needs into data-driven solutions. You will analyze large datasets to identify trends and opportunities, and communicate findings through clear visual storytelling.

Collaboration with cross-functional teams is required to define requirements, prepare and cleanse data, and deploy analytics solutions.

Qualifications

• Bachelor’s degree in a quantitative field.
• Knowledge of statistical methods, data analysis, and modeling techniques.
• Experience working with data in academic or professional settings.
• Experience with Python, SAS, and SQL (preferred).
• Experience with Snowflake or similar cloud data platforms (preferred).
• Strong data manipulation, querying, and analysis skills (preferred).
• Familiarity with machine learning techniques and model development (preferred).

Responsibilities

• Perform advanced analytics to generate actionable insights
• Partner with stakeholders to translate business needs into data-driven solutions
• Analyze large, complex datasets to identify trends, patterns, and opportunities
• Develop, test, and deploy statistical and machine learning models
• Communicate findings through data visualization and storytelling
• Partner with cross-functional teams to define requirements and deliver data-driven solutions
• Perform data preparation, cleansing, and feature engineering
• Write, maintain, and deploy code to support analytics and modeling solutions

Skills

Advanced analytics

Data storytelling

Stakeholder collaboration

Data visualization

Model development

Education

Bachelor’s degree in a quantitative field

Tools

Python

SAS

SQL

Snowflake

Job description

• Perform advanced analytics to generate actionable insights
• Partner with stakeholders to translate business needs into data-driven solutions
• Analyze large, complex datasets to identify trends, patterns, and opportunities
• Develop, test, and deploy statistical and machine learning models
• Communicate findings through data visualization and storytelling
• Partner with cross-functional teams to define requirements and deliver data-driven solutions
• Perform data preparation, cleansing, and feature engineering
• Write, maintain, and deploy code to support analytics and modeling solutions

Requirements

• Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics, Engineering, or related)
• Knowledge of statistical methods, data analysis, and modeling techniques
• Experience working with data in academic or professional settings
• Experience with Python, SAS, and SQL (preferred)
• Experience working with Snowflake or similar cloud data platforms (preferred)
• Strong data manipulation, querying, and analysis skills (preferred)
• Familiarity with machine learning techniques and model development (preferred)